Fine-grained evaluation of German-English Machine Translation based on a Test Suite
Vivien Macketanz, Eleftherios Avramidis, Aljoscha Burchardt, Hans Uszkoreit
Abstract
We present an analysis of 16 state-of-the-art MT systems on German-English based on a linguistically-motivated test suite. The test suite has been devised manually by a team of language professionals in order to cover a broad variety of linguistic phenomena that MT often fails to translate properly. It contains 5,000 test sentences covering 106 linguistic phenomena in 14 categories, with an increased focus on verb tenses, aspects and moods. The MT outputs are evaluated in a semi-automatic way through regular expressions that focus only on the part of the sentence that is relevant to each phenomenon. Through our analysis, we are able to compare systems based on their performance on these categories. Additionally, we reveal strengths and weaknesses of particular systems and we identify grammatical phenomena where the overall performance of MT is relatively low.- Anthology ID:
- W18-6436
- Volume:
- Proceedings of the Third Conference on Machine Translation: Shared Task Papers
- Month:
- October
- Year:
- 2018
- Address:
- Belgium, Brussels
- Editors:
- Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana Neves, Matt Post, Lucia Specia, Marco Turchi, Karin Verspoor
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 578–587
- Language:
- URL:
- https://aclanthology.org/W18-6436
- DOI:
- 10.18653/v1/W18-6436
- Cite (ACL):
- Vivien Macketanz, Eleftherios Avramidis, Aljoscha Burchardt, and Hans Uszkoreit. 2018. Fine-grained evaluation of German-English Machine Translation based on a Test Suite. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 578–587, Belgium, Brussels. Association for Computational Linguistics.
- Cite (Informal):
- Fine-grained evaluation of German-English Machine Translation based on a Test Suite (Macketanz et al., WMT 2018)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/W18-6436.pdf